Alternatives and similar repositories for genlasso:

Users that are interested in genlasso are comparing it to the libraries listed below

• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 4 months ago
• theodds / SoftBART
  ☆31Updated last month
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 7 years ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆20Updated 9 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆36Updated 2 months ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 3 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 5 months ago
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆34Updated 5 months ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆46Updated 3 years ago
• rsnirwan / HouseholderBPCA
  Rotation Invariant Householder Parameterization for Bayesian PCA
  ☆17Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆68Updated 6 years ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆24Updated 9 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆64Updated 4 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• Hua-Zhou / SparseReg
  Matlab toolbox for sparse regression
  ☆26Updated 3 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆111Updated last week
• jaredhuling / oem
  Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
  ☆27Updated 6 months ago
• ryantibs / convexopt-book1
  Convex optimization for statistics and machine learning
  ☆16Updated last month
• johnmyleswhite / bayesian_nonparametrics
  Slides and code for Bayesian nonparametrics in R and Julia
  ☆53Updated 9 years ago
• pcarbo / varbvs
  Large-scale Bayesian variable selection for R and MATLAB.
  ☆41Updated last year
• FrankD / fuser
  Fused lasso for high-dimensional regression over groups
  ☆10Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago